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Texture Feature Extraction and Classification of SEM Images of Wheat StrawPolypropylene Composites in Accelerated Aging Test
المؤلفون المشاركون
Zhang, Huan
He, Chunxia
Yu, Min
Fu, Jingjing
المصدر
Advances in Materials Science and Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-09-20
دولة النشر
مصر
عدد الصفحات
10
الملخص EN
Wheat straw/polypropylene composites are green recycled and biomass-based material.
After accelerated aging test of the composite was done, practical and effective methods for characterization and extraction of texture feature of microscopic Scanning Electron Microscopy (SEM) images of composites were investigated in this paper, and involved data compression and classification recognition were studied as well.
Through Angle Measure Technique (AMT) method, the complexity spectra, MA spectra, of the preprocessed SEM images of the composites were derived and then the first four principal components of MA spectra using Principal Component Analysis (PCA) were extracted accordingly.
Two kinds of classifiers based on Extreme Learning Machine (ELM) and Support Vector Machine (SVM) were introduced to classify the SEM images into five different aging periods in this paper.
The research results indicate that AMT method is a very novel and effective approach in texture feature characterization and analysis of SEM images of composites and high classification accuracy of SEM images in different aging periods by using intelligent recognition can be reached.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Huan& He, Chunxia& Yu, Min& Fu, Jingjing. 2015. Texture Feature Extraction and Classification of SEM Images of Wheat StrawPolypropylene Composites in Accelerated Aging Test. Advances in Materials Science and Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1053271
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Huan…[et al.]. Texture Feature Extraction and Classification of SEM Images of Wheat StrawPolypropylene Composites in Accelerated Aging Test. Advances in Materials Science and Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1053271
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Huan& He, Chunxia& Yu, Min& Fu, Jingjing. Texture Feature Extraction and Classification of SEM Images of Wheat StrawPolypropylene Composites in Accelerated Aging Test. Advances in Materials Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1053271
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1053271
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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